activity
20162022
most citedDetecting Noteheads in Handwritten Scores with ConvNets and Bounding Box Regression

11 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Defending Compositionality in Emergent Languages

Michal Auersperger, Pavel Pecina

Compositionality has traditionally been understood as a major factor in productivity of language and, more broadly, human cognition. Yet, recently, some research started to questio…

cs.CL2019

English-Czech Systems in WMT19: Document-Level Transformer

Martin Popel, Dominik Macháček, Michal Auersperger +2

We describe our NMT systems submitted to the WMT19 shared task in English-Czech news translation. Our systems are based on the Transformer model implemented in either Tensor2Tensor…

cs.CV2017★ 11 cited

Detecting Noteheads in Handwritten Scores with ConvNets and Bounding Box Regression

Jan Hajič, Pavel Pecina

Noteheads are the interface between the written score and music. Each notehead on the page signifies one note to be played, and detecting noteheads is thus an unavoidable step for…

cs.CV2017★ 5 cited

In Search of a Dataset for Handwritten Optical Music Recognition: Introducing MUSCIMA++

Jan Hajič, Pavel Pecina

Optical Music Recognition (OMR) has long been without an adequate dataset and ground truth for evaluating OMR systems, which has been a major problem for establishing a state of th…

cs.CL2016

CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks

Jindřich Libovický, Jindřich Helcl, Marek Tlustý +2

Neural sequence to sequence learning recently became a very promising paradigm in machine translation, achieving competitive results with statistical phrase-based systems. In this…